A virtual case benchmarking scheme for vendors' performance assessment

Purpose – This paper attempts to propose a virtual case‐based benchmarking system (VCBS) which incorporates computational intelligence technologies into partners' benchmarking process to support decision‐making.Design/methodology/approach – The proposed system consists of three main modules: data repository module, OLAP module and case‐based reasoning (CBR) module. The VCBS is a web‐based application that enables users to access the system and submit information to the system in anywhere at anytime. The database repository, on the other hand, maintains and acquires the data that are generated in the transactions processes and other workflow processes. It also ensures the entire valuable data which are accessible for the management to make decisions. The OLAP and the CBR modules are considered as the brain of the VCBS. The CBR module is aimed for short‐listing candidate, while the OLAP module is utilized for benchmarking the short‐listed candidate.Findings – The VCBS is particularly useful in situations wh...

[1]  Van Uu Nguyen,et al.  Tender evaluation by fuzzy sets , 1985 .

[2]  Robert C. Camp,et al.  Benchmarking: The Search for Industry Best Practices That Lead to Superior Performance , 1989 .

[3]  Lawrence S. Pryor Benchmarking: A Self‐Improvement Strategy , 1989 .

[4]  Beverly Geber,et al.  Benchmarking: Measuring Yourself against the Best. , 1990 .

[5]  Michael J. Spendolini,et al.  The Benchmarking Book , 1992 .

[6]  Janet L. Kolodner,et al.  Case-Based Reasoning , 1989, IJCAI 1989.

[7]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[8]  Agnar Aamodt,et al.  CASE-BASED REASONING: FOUNDATIONAL ISSUES, METHODOLOGICAL VARIATIONS, AND SYSTEM APPROACHES AICOM - ARTIFICIAL INTELLIGENCE COMMUNICATIONS , 1994 .

[9]  David Leake,et al.  Case-Based Reasoning: Experiences, Lessons and Future Directions , 1996 .

[10]  Vasant Dhar,et al.  Seven Methods for Transforming Corporate Data Into Business Intelligence , 1996 .

[11]  Barry Devlin,et al.  Data Warehouse: From Architecture to Implementation , 1996 .

[12]  Robert J. Vokurka,et al.  A prototype expert system for the evaluation and selection of potential suppliers , 1996 .

[13]  R. Raeside,et al.  Choosing successful technology development partners: a best-practice model , 1998 .

[14]  Seyed Hassan Ghodsypour,et al.  A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming , 1998 .

[15]  Asbjørn Rolstadås,et al.  Enterprise performance measurement , 1998 .

[16]  Mohamed Zairi,et al.  Benchmarking For Best Practice , 1998 .

[17]  A. Carr,et al.  The Relationship Among Purchasing Benchmarking, Strategic Purchasing, Firm Performance, and Firm Size , 1999 .

[18]  Mohamed A. Youssef,et al.  Supplier selection in developing countries: a model development , 1999 .

[19]  Anindya Datta,et al.  The cube data model: a conceptual model and algebra for on-line analytical processing in data warehouses , 1999, Decis. Support Syst..

[20]  M. Kumaraswamy,et al.  Benchmarking contractor selection practices in public‐sector construction—a proposed model , 2000 .

[21]  H. Lau,et al.  On a responsive supply chain information system , 2000 .

[22]  Henry C. W. Lau,et al.  Development of an intelligent decision support system for benchmarking assessment of business partners , 2001 .

[23]  Henry C. W. Lau,et al.  An intelligent information infrastructure to support knowledge discovery , 2002, Expert Syst. Appl..